BBLC / TradeDNA
The Open Grid Algorithmic Strategy
Investment Thesis
A systematic, regime-aware momentum engine that adapts to trend, mean-reversion, and neutral market states through volatility-normalized signals and dynamic risk controls.
Performance Snapshot (Synthetic Demo)
What Makes It Different
- Regime-first signal weighting using ADX and Hurst exponent.
- Volatility-normalized entries work across calm and volatile periods.
- ATR-based sizing caps risk per trade and at portfolio level.
- Modular codebase: data feed, features, signals, risk, backtest, live engine, reporting.
Risk Controls
- 1% capital risk per trade via ATR units.
- 15% single-position cap; 150% gross exposure cap.
- Hard, trailing, and 10-day time stops.
- Automatic trading halt at 12% drawdown.
Live Path
- OANDA broker stub ready for REST integration.
- Private-node or isolated-tenant deployment.
- Full audit trail and per-tenant data isolation.
Synthetic backtests are for demonstration. Live results depend on market conditions, execution quality, fees, and regulatory review. Prepared by Oction Labs Inc.